DBMS > Apache Jena - TDB vs. atoti vs. Rockset vs. Transbase

System Properties Comparison Apache Jena - TDB vs. atoti vs. Rockset vs. Transbase

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Editorial information provided by DB-Engines

Name

Description

A RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena framework

An in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.

A scalable, reliable search and analytics service in the cloud, built on RocksDB

A resource-optimized, high-performance, universally applicable RDBMS

Primary database model

Secondary database models

Relational DBMS
Search engine

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	3.75
Rank	#84	Overall
	#3	RDF stores

Score	0.56
Rank	#245	Overall
	#10	Object oriented DBMS

Score	0.79
Rank	#211	Overall
	#35	Document stores

Score	0.11
Rank	#341	Overall
	#150	Relational DBMS

Website

jena.apache.org/documentation/tdb/index.html

atoti.io

rockset.com

www.transaction.de/en/products/transbase.html

Technical documentation

jena.apache.org/documentation/tdb/index.html

docs.atoti.io

docs.rockset.com

www.transaction.de/en/products/transbase/features.html

Developer

Apache Software Foundation

originally developed by HP Labs

ActiveViam

Rockset

Transaction Software GmbH

Initial release

2000

2019

1987

Current release

4.9.0, July 2023

Transbase 8.3, 2022

License

Commercial or Open Source

Open Source

Apache License, Version 2.0

commercial

free versions available

commercial

free development license

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

C++

C and C++

Server operating systems

All OS with a Java VM

hosted

FreeBSD
Linux
macOS
Solaris
Windows

Data scheme

yes

RDF Schemas

schema-free

yes

Typing

predefined data types such as float or date

yes

dynamic typing

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

ingestion from XML files supported

Secondary indexes

yes

all fields are automatically indexed

yes

SQL

Support of SQL

Multidimensional Expressions (MDX)

Read-only SQL queries, including JOINs

yes

APIs and other access methods

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

HTTP REST

ADO.NET
JDBC
ODBC
Proprietary native API

Supported programming languages

Java

Go
Java
JavaScript (Node.js)
Python

C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python

Server-side scripts

Stored procedures

yes

Python

yes

Triggers

yes

via event handler

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding, horizontal partitioning

Automatic sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

TDB Transactions

yes

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Access control via Jena Security

Access rights for users and organizations can be defined via Rockset console

fine grained access rights according to SQL-standard

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